added link to project website

app.py

@@ -9,7 +9,16 @@ import os
 import sys
 import json # Added import
 import copy
-import spaces
+try:
+    import spaces
+except ImportError:
+    print("Warning: 'spaces' module not found.")
+    class DummySpaces:
+        @staticmethod
+        def GPU(func):
+            return func
+    spaces = DummySpaces()
+
 # Add project root to sys.path to allow direct import of var_post_samp
 project_root = os.path.abspath(os.path.join(os.path.dirname(__file__), "."))
 if project_root not in sys.path:
@@ -552,17 +561,34 @@ if __name__ == "__main__":
         sys.exit(1)
 
     # --- Define Gradio UI using gr.Blocks after globals are initialized ---
-    title_str = "Solving Inverse Problems with FLAIR"
+    title_str = """
+    <div align="center">
+
+    # FLAIR: Flow-Based Latent Alignment for Image Restoration
+
+    **Julius Erbach<sup>1</sup>, Dominik Narnhofer<sup>1</sup>, Andreas Dombos<sup>1</sup>, Jan Eric Lenssen<sup>1</sup>, Bernt Schiele<sup>2</sup>, Konrad Schindler<sup>1</sup>**  
+    <br>
+    <sup>1</sup> Photogrammetry and Remote Sensing, ETH Zurich  <sup>2</sup> Max Planck Institute for Informatics, Saarbrücken  
+
+    <p align="center" style="margin-top: 8px;">
+      <a href="link" target="https://arxiv.org/abs/2506.02680" rel="noopener noreferrer" style="display: inline-block;">
+        <img src="https://img.shields.io/badge/arXiv-PDF-b31b1b" alt="Paper">
+      </a>
+      <a href="https://inverseFLAIR.github.io" target="_blank" rel="noopener noreferrer" style="display: inline-block;">
+        <img src="https://img.shields.io/badge/Project-Page-green" alt="Project Page">
+      </a>
+    </p>
+
+    </div>
+    """
     description_str = """
-Select a task (Inpainting or Super Resolution) and upload an image.
-
-For Inpainting, draw a mask on the image to specify the area to be filled. 
-
-We observed that our model can event solve simple editing task, if provided with an appropriate prompt. For large masks the step size might need to be adjusted to e.g. 80.
-
-For Super Resolution, upload a low-resolution image and select the upscaling factor. Images are always upscaled to 768x768 pixels. Therefore, for x12 superresolution, the input image must be 64x64 pixels. You can also upload a high resolution image which will be downscaled to the correct input size. 
-Use the slider to compare the low resolution input image with the super-resolved output.
-
+**Select a task below and upload your image.** <br>
+**Inpainting Note:** <br>
+- Provide a descriptive prompt (e.g., "A realistic sky replacement").  
+- For large masks, increase the number of steps (up to 80) for better results.
+**Super Resolution:**  <br>
+- Upload a either a high resolution image which will be be center cropped to 768x768 and downscaled by the selected factor, or a low-resolution image (e.g., 64x64 pixels) which will be upscaled.  
+- Or upload a low-resolution image which will be upscaled by the selected factor to 768x768. The input resolution must match the target resolution for the selected scale factor (e.g., 64x64 for x12, 32x32 for x24). 
 """
 
     # Determine default values now that BASE_CONFIG is initialized